Abstract: Techniques for geometric aging data reduction for machine learning applications are disclosed. In some embodiments, an artificial-intelligence powered system receives a first time-series dataset that tracks at least one metric value over time. The system then generates a second time-series dataset that includes a reduced version of a first portion of the time-series dataset and a non-reduced version of a second portion of the time-series dataset. The second portion of the time-series dataset may include metric values that are more recent than the first portion of the time-series dataset. The system further trains a machine learning model using the second time-series dataset that includes the reduced version of the first portion of the time-series dataset and the non-reduced version of the second portion of the time-series dataset. The trained model may be applied to reduced and/or non-reduced data to detect multivariate anomalies and/or provide other analytic insights.

Abstract: Techniques for geometric aging data reduction for machine learning applications are disclosed. In some embodiments, an artificial-intelligence powered system receives a first time-series dataset that tracks at least one metric value over time. The system then generates a second time-series dataset that includes a reduced version of a first portion of the time-series dataset and a non-reduced version of a second portion of the time-series dataset. The second portion of the time-series dataset may include metric values that are more recent than the first portion of the time-series dataset. The system further trains a machine learning model using the second time-series dataset that includes the reduced version of the first portion of the time-series dataset and the non-reduced version of the second portion of the time-series dataset. The trained model may be applied to reduced and/or non-reduced data to detect multivariate anomalies and/or provide other analytic insights.

Abstract: Embodiments in accordance with the present disclosure are directed to configuring an analyzer apparatus for processing a particular sample-processing cartridge. The analyzer apparatus includes a portable container and sample-specific configuration circuitry. The portable container supports and integrates a sample-processing cartridge and the sample-specific configuration circuitry. The sample-specific configuration circuitry identifies configuration information specific to the sample-processing cartridge and configures the analyzer apparatus for a series of state configurations.

Abstract: Embodiments in accordance with the present disclosure are directed to configuring an analyzer apparatus for processing a particular sample-processing cartridge. The analyzer apparatus includes a portable container and sample-specific configuration circuitry. The portable container supports and integrates a sample-processing cartridge and the sample-specific configuration circuitry. The sample-specific configuration circuitry identifies configuration information specific to the sample-processing cartridge and configures the analyzer apparatus for a series of state configurations.

Abstract: Provided herein is an analyzing system including components and methods thereof. The analyzing system includes, in some embodiments, a test cartridge and an analyzer. The test cartridge can include a port for a biological sample; one or more lateral flow assay strips with one or more target capture zones for binding one or more targets of the biological sample; and a memory device including a development time for the test cartridge. The analyzer can include an opening for the cartridge; a reader/writer device for writing an initial time stamp for the biological sample to the memory device and reading it back; a processor configured to execute an algorithm and logic to ensure an elapsed time from the initial time stamp meets or exceeds the development time for the test cartridge; and a detector for detecting emissions from an up-converting phosphor in the one or more target capture zones.

Abstract: Embodiments in accordance with the present disclosure are directed to configuring an analyzer apparatus for processing a particular sample-processing cartridge. The analyzer apparatus includes a portable container and sample-specific configuration circuitry. The portable container supports and integrates a sample-processing cartridge and the sample-specific configuration circuitry. The sample-specific configuration circuitry identifies configuration information specific to the sample-processing cartridge and configures the analyzer apparatus for a series of state configurations.

Abstract: Embodiments in accordance with the present disclosure are directed to assessing for the presence of different target sequences in a sample. Embodiments include providing a binary result of the presence or absence of target sequences that is indicative of a disease or other physiological condition. An example method includes exposing a sample to a plurality of probes, the plurality of probes including a plurality of complimentary sequences that bind to a plurality of target sequences in the sample, and a plurality of different tag sequences for each of the plurality of target sequences in the sample. At least a portion of the target sequences bound to the probes are caused to bind to the different locations on the substrate. And, the method includes, by using scanning circuitry and information indicative of the different locations and associated tag sequences, assessing the number of the target sequences in the sample.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: The present invention generally relates to computer software, and more specifically, to a computerized utility for analysis of optimized program files. A method and apparatus for optimized program analysis is disclosed.

Abstract: A line and/or strap assembly allowing for offset towing configurations is disclosed. The assembly permits off-center towing.

Abstract: An elevator work deck for use during elevator construction including a first support having a top surface and a bottom surface, and a second support having a top surface and a bottom surface. There are means for positioning the first support and the second support in abutting edge to edge relation so that the top surface of the first support and the top surface of the second support define a planar horizontal working surface when assembled in an operative position. Fastener receivers are positioned on the bottom surface of each of the first support and the second support. There are clamping fastener assemblies engaging the fastener receivers to clamp the first support and the second support to elevator car sling structural beams.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: A method and apparatus for executing groups of database statements is provided. An indication is included in database statements to indicate whether instructions need to be executed in a particular sequence with respect to one another. In an embodiment, statements that need to be executed sequentially with respect to one another are included in the same bundle. In an embodiment bundles do not need to be executed in any particular order with respect to one another. A mechanism has been presented to enable statements to be executed concurrently by the server. In an embodiment, groups of database statements are sent from a client-side to a server within batches including one set of transmission information for the entire batch. In an embodiment, within a batch there may be one or more bundles. In an embodiment, the bundles are always executed sequentially; however, different bundles within a batch can be executed concurrently.

Abstract: A method and apparatus for executing groups of database statements is provided. An indication is included in database statements to indicate whether instructions need to be executed in a particular sequence with respect to one another. In an embodiment, statements that need to be executed sequentially with respect to one another are included in the same bundle. In an embodiment bundles do not need to be executed in any particular order with respect to one another. A mechanism has been presented to enable statements to be executed concurrently by the server. In an embodiment, groups of database statements are sent from a client-side to a server within batches including one set of transmission information for the entire batch. In an embodiment, within a batch there may be one or more bundles. In an embodiment, the bundles are always executed sequentially; however, different bundles within a batch can be executed concurrently.

Abstract: An ammonium removal system includes an ion-exchange medium, a brine source, and an electrophysical separation system. The ion-exchange medium may be used to remove ammonium from a waste stream. A brine may be flushed through the ion-exchange medium to remove the ammonium from the ion-exchange medium. The ammonium containing brine may be treated using an electrophysical separation system.

Abstract: Techniques for representing core files generated by a computer operating system upon crash of a computer program in a generic format are disclosed. A generic representation of the core file can be generated and analyzed to help in determining errors in code that occurred which the operating system is unable to handle. The generic representation of core files can be represented in a platform-independent format, for example, generic representation of core files may be represented in an extensible data format.

Abstract: The present invention generally relates to computer software, and more specifically, to a computerized utility for analysis of optimized program files. A method and apparatus for optimized program analysis is disclosed.